add timestep() predefined function akin to resolution()

clinssen · Sep 22, 2024 · 2d5e24d · 2d5e24d
1 parent cf0363f
commit 2d5e24d
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Showing 2 changed files with 8 additions and 3 deletions.
diff --git a/models/neurons/aeif_cond_exp_neuron.nestml b/models/neurons/aeif_cond_exp_neuron.nestml
@@ -104,7 +104,7 @@ model aeif_cond_exp_neuron:
  # neuron not refractory
  integrate_odes(w, V_m)
 
- onCondition(V_m >= V_th and refr_t <= 0 ms):
+ onCondition(V_m >= V_peak and refr_t <= 0 ms):
  # threshold crossing
  refr_t = refr_T # start of the refractory period
  V_m = V_reset # clamp potential

diff --git a/...neration/resources_python_standalone/point_neuron/test_python_standalone_module.py.jinja2 b/...neration/resources_python_standalone/point_neuron/test_python_standalone_module.py.jinja2
@@ -53,15 +53,20 @@ class TestSimulator:
  for neuron_id, neuron_log in simulator.log.items():
  if neuron_id == "t":
  continue
+
  if len(neuron_log) == 0:
  continue
+
  fig, ax = plt.subplots(nrows=len(neuron_log))
- for i, (var_name, values) in enumerate(neuron_log.items()):
+ for i, (var_name, values) in sorted(enumerate(neuron_log.items())):
  ax[i].plot(simulator.log["t"], values, label="Neuron " + str(neuron_id) + ": " + str(var_name))
  ax[i].legend()
  ax[i].set_xlim(0, t_stop)
  ax[i].grid(True)
- #plt.show()
+ if i < len(neuron_log.items()) - 1:
+ ax[i].set_xticklabels([])
+
+ ax[-1].set_xlabel("Time [ms]")
  fig.savefig("/tmp/test_python_standalone_simulation_[neuron=" + simulator.neurons[neuron_id].get_model() + "].png")
 
  return neuron_log